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Tanaka Shohei  田中 祥平

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Shohei Tanaka  田中 祥平

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Researcher Number 90883330
Other IDs
Affiliation (Current) 2025: 東北大学, 大学病院, 助教
Affiliation (based on the past Project Information) *help 2024: 東北大学, 大学病院, 助手
2023: 東北大学, 大学病院, 助教
2020 – 2022: 東北大学, 大学病院, 助手
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related / 0901:Oncology and related fields
Except Principal Investigator
Basic Section 52040:Radiological sciences-related
Keywords
Principal Investigator
人工知能 / 放射線治療 / 前立腺がん / Unity / MR-Linac / 深層学習 / MR画像誘導放射線治療 / 患者個別化医療 / 腫瘍縮小 / 頭頚部癌 … More / CT / レディオミクス / 機械学習 / 腫瘍 … More
Except Principal Investigator
MRリニアックシステム / 定位放射線治療 / 放射線治療 Less
  • Research Projects

    (3 results)
  • Research Products

    (3 results)
  • Co-Researchers

    (3 People)
  •  小型肺癌に対するMR画像誘導即時適応放射線治療による定位手術的照射の第2相臨床試験

    • Principal Investigator
      山本 貴也
    • Project Period (FY)
      2024 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Tohoku University
  •  Deep learning approach for true dose distribution considering movement during beam on timePrincipal Investigator

    • Principal Investigator
      田中 祥平
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Tohoku University
  •  Deep learning approach to predict tumor regression for adaptive radiotherapyPrincipal Investigator

    • Principal Investigator
      Shohei Tanaka
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0901:Oncology and related fields
    • Research Institution
      Tohoku University

All 2022 2021

All Journal Article Presentation

  • [Journal Article] A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy2022

    • Author(s)
      Tanaka Shohei、Kadoya Noriyuki、Sugai Yuto、Umeda Mariko、Ishizawa Miyu、Katsuta Yoshiyuki、Ito Kengo、Takeda Ken、Jingu Keiichi
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1

    • DOI

      10.1038/s41598-022-12170-z

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K22795
  • [Presentation] A Deep Learning-Based Radiomics Approach to Identify Patient with Early Tumor Regression Utilizing Planning CT Images for Adaptive Radiotherapy2021

    • Author(s)
      Shohei Tanaka
    • Organizer
      2021 AAPM Virtual 63rd Annual Meeting (Disposition)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K22795
  • [Presentation] Deep learning based radiomics アプローチによる頭頚部腫瘍縮小の予測2021

    • Author(s)
      田中祥平
    • Organizer
      日本放射線腫瘍学会第34回学術大会
    • Data Source
      KAKENHI-PROJECT-20K22795
  • 1.  山本 貴也 (30733159)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  高橋 紀善 (40791702)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  佐藤 清和 (90800144)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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